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Urban Studies, Vol. 44, No. 1, 123-146 (2007)
DOI: 10.1080/00420980601023885
© 2007 Urban Studies Journal Limited

Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada

Antonio Paez

School of Geography and Earth Sciences, McMaster University, 1280 Main Street W, Hamilton, Ontario, L8S 4K1, Canada, paezha{at}mcmaster.ca,

Darren Scott

School of Geography and Earth Sciences, McMaster University, 1280 Main Street W, Hamilton, Ontario, L8S 4K1, Canada, scottdm{at}mcmaster.ca

Dimitris Potoglou

School of Geography and Earth Sciences, McMaster University, 1280 Main Street W, Hamilton, Ontario, L8S 4K1, Canada, potoglu{at}mcmaster.ca

Pavlos Kanaroglou

School of Geography and Earth Sciences, McMaster University, 1280 Main Street W, Hamilton, Ontario, L8S 4K1, Canada, pavlos{at}mcmaster.ca

K. Bruce Newbold

School of Geography and Earth Sciences, McMaster University, 1280 Main Street W, Hamilton, Ontario, L8S 4K1, Canada, newbold{at}mcmaster.ca

Recent interest in the urban transport challenges posed by the demographic outlook of ageing societies has prompted a growing body of scholarship on the subject. The focus of this paper is on the topic of elderly trip generation and the development of models to help formalise some important relationships between trip-making behaviour and personal, household and contextual variables (such as location). The case study is the Hamilton Metropolitan Area-an important functional component of Greater Toronto, itself one of the regions in Canada where the impact of ageing is expected to be most strongly felt. Using data from Toronto's Transport Tomorrow Survey and mixed ordered probit models, the study investigates the question of spatial and demographic variability in trip-making behaviour. The results support the proposition that trip-making propensity decreases with age. However, it is also found that this behaviour is not spatially homogeneous and in fact exhibits a large degree of variability-a finding that highlights both the challenges of planning transport for the elderly and the potential of spatial analytical approaches to improve transport modelling practice.


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